Best Clinical SAS Training in Hyderabad
Stansys offers the best Clinical SAS training in Hyderabad that helps students to get an in-depth understanding of the system and its various features. The training course covers all the topics related to Clinical SAS programming, including data management, analytics, reporting, and graphics. The course is designed keeping in mind the needs of both beginner and advanced-level students.
Our instructors at Stansys are experienced professionals who have worked in the Pharmaceutical and Healthcare industry for many years. We have extensive knowledge of Clinical SAS and its various applications. Our instructors provide detailed explanations of all the concepts covered in the course. We also provide real-world examples to help students understand how Clinical SAS can be used in different situations.
About Clinical SAS Course
The software industry is one of the most rapidly growing industries in the world. As new technology is developed, there is a constant demand for trained professionals who can use these tools to solve real-world problems. When it comes to data analysis, few software tools are as powerful as SAS. This statistical software package is used by organizations all over the world to make sense of large data sets. If you want to start a career in data analysis, learning SAS is a great place to start. Stansys is one of the leading providers of Clinical SAS training in Hyderabad. Our experienced instructors will help you understand how to use SAS for data analysis so that you can pursue a successful career in this field.
Clinical SAS is one of the most popular Statistical Analysis Systems used in the Pharmaceutical and Healthcare industry. The system is used to manage and analyze clinical data generated by clinical studies. It is a powerful tool that helps organizations to make informed decisions about their products and services.
The training course includes both classroom lectures as well as hands-on experience with the system. Students will get an opportunity to work on live projects during the training program. This will help them gain practical experience with Clinical SAS and its various features. After completing the training program, students will be able to use Clinical SAS effectively for data management, analytics, reporting, and graphics purposes.
Curriculum of Clinical SAS Course
The Clinical SAS Course curriculum at Stansys is designed to give students a strong foundation in the basics of Clinical SAS programming, as well as provide them with the skills and knowledge necessary to work with clinical data. The course begins with an introduction to basic concepts in SAS programming, including data types, variables, and expressions. Students will then learn how to use SAS procedures to manipulate and analyze clinical data. The course also covers various techniques for creating graphs and reports from clinical data. Finally, students will learn how to use SAS macros to automate their clinical SAS programming tasks.
Clinical SAS Certification in Hyderabad
Stansys is the best Clinical SAS Training Institute in Hyderabad which provides real-time and placement-focused Clinical SAS training in Hyderabad. Our Clinical SAS Course includes basic to advanced levels and our Clinical SAS course is designed to get the placement in good MNC companies in Hyderabad as quickly as once you complete the Clinical SAS certification training course. We provide free demo classes, 100% job assistance and live project support for all our students.
Benefits of Clinical SAS Training
If you are looking for a career in the field of clinical data management, then Clinical SAS training is the best option for you. Stansys is the best Clinical SAS training institute in Hyderabad which provides real-time project training. The institute also offers online clinical SAS training courses which are designed by experienced professionals.
The course curriculum covers an introduction to clinical research, SAS programming standards for clinical trials, CDISC data standards, and generating tables, listings, and figures. The course will be taught by experienced faculty who have extensive experience in the field of clinical research. The course is designed to provide participants with the skills and knowledge necessary to become proficient in using SAS for clinical research.
The benefits of the Clinical SAS training course at Stansys cover all the aspects of clinical data management including CDISC standards, validation checks, creation of Tables, Listings, and Graphs. The institute also provides placement assistance to its students.
Clinical SAS Online Training in Hyderabad
Clinical SAS is a software used for statistical analysis and data management in the clinical trials process. It is an essential tool for pharmaceutical companies and research organizations involved in drug development. Stansys offers comprehensive Clinical SAS online training in Hyderabad that covers all aspects of this powerful software. Our experienced faculty will train you to use Clinical SAS for data analysis, reporting, and creating graphical displays of clinical trial data.
After completing our Clinical SAS training course, you will be able to:
- Understand the basics of clinical research and the role of SAS in this process
- Perform statistical analyses using SAS software
- Generate reports and presentations from clinical trial data
- Use SAS programming to create custom displays of clinical data
Clinical SAS Training with Placements
SAS is a software suite that enables you to perform all phases of data analysis, from data management to statistical analysis and report writing. Clinical SAS Training equips you with the skills and knowledge required to use SAS for clinical research.
Stansys offers the best Clinical SAS Training in Hyderabad with real-time faculty, having more than 10 years of experience in the field of SAS. The course curriculum is designed according to the industry standards and helps you to understand various concepts of Clinical SAS, right from the basics to advanced level.
The training program includes both classroom sessions as well as practical sessions, which help you gain hands-on experience on various tools and techniques used in Clinical SAS. Placements are assured for all eligible candidates at the end of the course.
Eligibility Qualifications for Clinical SAS?
To become a Clinical SAS Programmer, you will need at least a Bachelor’s degree in computer science, information technology, statistics, or another relevant field. After completing your degree, you will then need to complete a clinical SAS course certification from an accredited institution like Stansys. The final step is to find employment with a pharmaceutical company or clinical research organization (CRO).
Best Clinical SAS Training Institutes in Hyderabad
There’s no doubt that Stansys is the best clinical SAS training institutes in Hyderabad. They offer top-notch training with experienced professionals who have years of experience in the field. The institute also provides placement assistance to help you find the right job after completing the course.
We offer comprehensive training that covers all aspects of Clinical SAS programming. Our experienced faculty members have in-depth knowledge of the subject and they are well-equipped to train our students to become competent Clinical SAS programmers.
We use the latest technology and software tools to provide our students with an interactive and engaging learning experience. Our state-of-the-art infrastructure and facilities provide a conducive environment for learning. We also offer flexible timings and customized course modules to meet the individual needs of our students.
So if you are looking for a reputed and reliable institute for Clinical SAS training in Hyderabad, then look no further than Stansys. Contact us today to know more about our courses and programs.
SAS Base & Advance Course Content – Around 200 HOURS
WHAT IS SAS and BASICS of SAS – 12HOURS
- History Of Sas
- Functionality Of Sas
- Architecture Of Sas
- Sas Program Rules
- File Elements Of Sas
- Sas Names & Rule
- Missing Data
- Types Of Variables
- How Sas System Read Values Into Variables
- Lengths of Variables
- Sas Windowing Environment
- Sas Program & Components Of Sas Program
- Creation Of Libraries
- Member Types
- Datasets
- Views
- Catalogs
- Indexes
- Sas Programming (Briefly)
- Data Step
- Proc Step
- Global Options
- Global Statements
- Backend Process Of SAS Program
- Installation Process
- ETL Concepts
BEGIN WITH DATASTEP – 10 HOURS
- Data Step & Purpose of Data Step
- Data Statement & Dataset Options
- Infile Statement & Options
- Input Statement & Types of Input & Options
- Datalines / Cards Statement (or) Datalines4 / Cards4 Statement
- Run Statement / Quit Statement
ATTRIBUTES OF VARIABLES – 8 HOURS
- Data Types
- Label Statement
- Length Statement
- Informat Statement
- Format Statement
- How Dates Works In Sas
- System Defined / User Defined Informats & Formats
OTHER SAS STATEMENTS – 5 HOURS
- Keep Statement
- Drop Statement
- Rename Statement
- Replace Statement
- Sum Statement
- Retain Statement
- Goto Statement
- Link Statement
- Return Statement
- Output Statement
- Stop Statement
CONDITIONAL STATEMENTS – 4 HOURS
- If Statement
- If Then Statement
- If Then Else Statement
- If Then Delete Statement
- If Then Remove Statement
- If Then Output Statement
- If Then Do Statement
- If Then Do While Statement
- If Then Do Until Statement
- If Then Goto Statement
- Where Statement
- Operators
- Arithmetic Operators
- Comparison Operators
- Logical Operators
- Expressions
LOOPS – 5 HOURS
- Do Statement
- Do Iterative Statement
- Do While Statement
- Do Until Statement
- End Statement
- Output Statement
- Stop Statement
ARRAY – 5 HOURS
- Why Do We Need Arrays?
- Basic Array Concepts
- Array Statement
- Array References
- Variable Name Array Reference
- Using Array Indexes
- One Dimension Arrays&Multi-Dimension Arrays
- Temporary Arrays
- Sorting Arrays
- Determining Array Bounds: Lbound And Hbound Functions
- When To Use Arrays
- Common Errors And Misunderstandings
- Invalid Index Range
- Function Name As An Array Name
- Array Referenced In Multiple Data Steps, But Defined In Only One
BY – GROUP PROCESSING – 4 HOURS
- Definitions For By-Group Processing
- By-Group Processing
- Sorting Data (Proc Sort)
- By Value&By Group
- Variable And Last.Variable
- Modifying Sas Data Sets: Examples.
- Invoking By-Group Processing
- Preprocessing Input Data For By-Group Processing
- Sorting Observations For By-Group Processing
- Indexing For By-Group Processing
- How The Data Step Identifies By Groups
- Processing Observations In A By Group
- How Sas Determines First.Variable And Last.Variable
- Processing By-Groups In The Data Step
- Processing By-Groups Conditionally
- Data Not In Alphabetic Or Numeric Order
- Data Grouped By Formatted Values
COMBINING SAS DATA SETS – 10 HOURS
- Concatenation
- Interleaving
- Merge
- Update
- Modify
FUNCTIONS (100 + Functions) – 10 HOURS
- Character / String Functions
- Numeric Functions
- Date Functions
REVIEW OF DATASTEP – 2 HOURS
SAS – PROCEDURES (PROC STEP) – 1 HOUR
- What Is Proc Step
- Purpose Of Proc Step
- Types of Procedures
DATA ACCESS PROCEDURES – 4 HOURS
- Sql Pass Thru Query (Proc Sql)
- Proc Access
- Proc Dbload
- Libname Facility
- Proc Import
- Proc Export
UTILITY PROCEDURES – 15 HOURS
- Proc Contents
- Proc Setinit
- Proc Options
- Proc Pwencode
- Proc Copy
- Proc Delete
- Proc Printto
- Proc Sort
- Proc Compare
- Proc Append
- Proc Datasets
- Proc Format
- Proc Rank
- Proc Transpose
- Proc Template
- Proc Forms
- Proc Catalog
- Proc Cport
- Proc Cimport
- Proc Upload
- Proc Download
- Proc Migrate
STATISTICS &STATISTICAL PROCEDURES – 15 HOURS
- Proc Means
- Proc Summary
- Proc Univariate
- Proc Freq
- Proc Corr
- Proc Reg
- Proc Anova
- Proc Glm
- Proc Lifetest
- Proc Lifereg
- Proc Logistics
- Proc Npar1way
- Proc Ttest
REPORTING PROCEDURES – 10 HOURS
- Proc Print
- Proc Tabulate
- Proc Report
- Data Step Reporting (_Null_ Reporting)
GRAPHICAL PROCEDURES – 5 HOURS
- Proc Gchart
- Proc Gplot
- Proc Sgplot
- Proc Gis
- Proc Gmap
REVIEW OF PROCSTEP – 2 HOURS
ODS (OUTPUT DELIVERY SYSTM) – 5 HOURS
SAS DDE (Dynamic Data Exchange) – 2 Hours
DICTIONARY TABLES – 2 HOURS
LIST OF GLOBAL STATEMENTS – 3 HOURS
 LIST OF GLOBAL OPTIONS – 5 HOURS
PROC SQL – 20 HOURS
INTRODUCTION TO THE SQL PROCEDURE
RETRIEVING DATA FROM A SINGLE TABLE
RETRIEVING DATA FROM MULTIPLE TABLES
CREATING AND UPDATING TABLES AND VIEWS
PROGRAMMING WITH THE SQL PROCEDURE
PRACTICAL PROBLEM-SOLVING WITH PROC SQL
SAS/MACROS – 20 HOURS
PERFORMANCE TUNING CONCEPTS – 2 HOURS
TESTING & DEBUGGING TECHNIQUES – 2 HOURS
ERROR HANDLING – 2 HOURS
FEATURES BETWEEN SAS VERSIONS V9 – 2 HOURS
SAS WITH UNIX/LINUX ENVIRONMENT – 10 HOURS
CERTIFICATION CLASSES – 10 HOURS
SAS EG (Enterprise Guide) – 10 HOURS
PROJECTS
FREE CLASSES
Along with SAS U will get Free classes which helps to make you more Understanding to get good & quick job.
ELIGIBILITY:
Clinical / Life science /Healthcare Domain
Banking/Finance/Healthcare/Retail & Telecom Domain (Any graduate/ post graduate is eligible)
For any queries please contact STANSYS
- Definition & Purpose of ODS/
- Reports into Html, Rtf, Pdf, Excel, Csv, Ps, Xml, Markup, Css, Pcl, Output & Listing.
- Ods File Formatting Options
- General Ods Statements
- Excel XP Tagsets
- The MSOffice2K_x Tagset Adds Options to the MSOffice2K Tagset
- Exporting an XML Document Using a Customized Tagset
- CSV Tagsets
- Introduction of DDE
- DDE Preliminaries
- Starting Up Excel
- Loading and Saving a Workbook
- Inserting SAS Data
- Formatting of Excel Worksheet Cells
- Insert an Excel Macro Sheet
- Rename a Worksheet
- Get Existing Sheet Names
- What is Dictionary Tables?
- Purpose of Dictionary Tables?
- Vallopt, Vcatalog, Vcformat, Vchkcon, Vcolumn, Vdctnry, Vdest, Vengine, Vfilter,
- Vformat, Vfunc, Vgopt, Vindex, Vinfomp, Vlibnam, Vlocale, Vmacro, Vmember, Voption,
- Vsaccess, Vscatlg, Vslib, Vstable, Vstyle, Vsview, Vtable, Vtitle and Vview etc…
- X
- Dm
- Libname
- Filename
- Legend
- Symbol
- Title
- Footnote
- Ods
- Date/Nodate
- Number/Nonumber
- Orientation
- Missing
- LS (Line Size)
- PS (Page Size)
- Year cut off
- Sysprint
- Sysin
- User
- Font
- Validvarname
- Formchar
- Byline
- Compress
- Caps/Nocaps
- Source/Nosource
- Notes/Nonotes
- Repalce/Noreplace
- Firstobs
- Obs
- Buffno
- Buffsize
- Fmtsearch
- Macro
- Mstored
- SASMstore
- SASAutos
- Merror/NoMerror
- Serror/NoSerror
- Mprint/NoMprint
- Mlogic/NoMlogic
- Symbolgen/NoSymbolgen
- What Is Sql?
- What Is The Sql Procedure?
- Terminology
- Comparing Proc Sql With The Sas Data Step
- Overview Of The Select Statement
- Selecting Columns In A Table
- Creating New Columns
- Sorting Data
- Retrieving Rows That Satisfy A Condition
- Summarizing Data
- Grouping Data
- Filtering Grouped Data
- Validating A Query
- Introduction
- Selecting Data From More Than One Table By Using Joins
- Using Sub queries To Select Data
- When To Use Joins And Sub queries
- Combining Queries With Set Operators
- Introduction
- Creating Tables
- Inserting Rows Into Tables
- Updating Data Values In A Table
- Deleting Rows
- Altering Columns
- Creating An Index
- Deleting A Table
- Using Sql Procedure Tables In Sas Software
- Creating And Using Integrity Constraints In A Table
- Creating And Using Proc Sql Views
- Introduction
- Using Proc Sql Options To Create And Debug Queries
- Improving Query Performance
- Accessing Sas System Information Using Dictionary Tables
- Using Proc Sql With The Sas Macro Facility
- Formatting Proc Sql Output Using The Report Procedure
- Accessing A Dbms With Sas/Access Software
- Using The Output Delivery System (Ods) With Proc Sql
- Computing A Weighted Average
- Comparing Tables
- Overlaying Missing Data Values
- Computing Percentages Within Subtotals
- Counting Duplicate Rows In A Table
- Expanding Hierarchical Data In A Table
- Summarizing Data In Multiple Columns
- Creating A Summary Report
- Creating A Customized Sort Order
- Conditionally Updating A Table
- Updating A Table With Values From Another Table
- Creating And Using Macro Variables
- Using Proc Sql Tables In Other Sas Procedures
- Introduction To The Macro Facility
- Purpose Of The Macro Facility
- Macro Program Flow
- How To Create Macros
- Session Compiled Macros
- Autocall Macros
- Macro Variables
- Introduction To Macro Variables
- Automatic Macro Variables
- User-Defined Macro Variables
- Delimiting Macro Variable Names
- Deleting Macro Variables
- Macro Functions
- Macro Mask Functions
- Macro Definitions
- Defining And Calling A Macro
- Macro Parameters
- Macro Storage
- Data Step And Sql Interfaces-
- Creating Macro Variables In The Data Step
- Indirect References To Macro Variables
- Retrieving Macro Variables In The Data Step
- Creating Macro Variables In Sql
- Macro Programs
- Conditional Processing
- Parameter Validation
- Iterative Processing
- Global And Local Symbol Tables
- Framework For Developing Macro Applications
- Debugging And Troubleshooting
- Generating Custom Messages
- Creating Efficient Macros
- Review Of Macros
- Cpu Time
- Data Storage
- I/0
- Memory
- Programming Time
- Data Step Debugging
- Macro Debugging
- Debugging Options
- Syntax Errors
- Logical Errors
- Semantic Errors
- 1
- 1.2
- 1.3
- 2
- 3
- 4
- Getting Started with SAS in UNIX Environments
- Starting SAS Sessions in UNIX Environments
- Running SAS in a Foreground or Background Process
- Selecting a Method of Running SAS in UNIX Environments
- SAS Windowing Environment in UNIX Environments
- Interactive Line Mode in UNIX Environments
- Batch Mode in UNIX Environments
- Running SAS on a Remote Host in UNIX Environments
- X Command Line Options
- Executing Operating System Commands from Your SAS Session
- Customizing Your SAS Registry Files
- Customizing Your SAS Session by Using System Options
- Customizing Your SAS Session by Using Configuration and Autoexec Files
- Defining Environment Variables in UNIX Environments
- Determining the Completion Status of a SAS Job in UNIX Environments
- Exiting or Interrupting Your SAS Session in UNIX Environments
- Ending a Process That Is Running as a SAS Server
- Ending a SAS Process on a Relational Database
- Base Sas Certification
- Adv Sas Certification
- Getting Started with SAS Enterprise Guide
- Creating Reports
- Working with Data in the Query Builder
- Joining Two Data Files Together
- SAS Enterprise Guide Basics
- Bringing Data into a Project
- Working with Tasks
- Producing Complex Reports in Summary Tables
- Modifying Data Using the Query Builder
- Sorting and Filtering Data
- Combining Data Tables
- Basic Statistical Analysis
- BFSI (Banking, Finance, Insurance/Healthcare) – 30HOURS
- CLINICAL – 60HOURS (Along with CDISC)
- Operating System ( Windows, Unix & Linux ) – 30 Hours
- Database (Oracle Sql) – 30 HOURS
- MS-Excel (Basics, Adv, Macros, Vba, Analytics & MIS) – 60 Hours
- Statistics – 30 Hours
- Communication, Personality Development, Aptitude & Reasoning – 30 Hours
- Sc (B.Z.C, Chemistry, Biotech, Microbiology, Bio chemistry, Nutrition, Statistics)
- Sc (Clinical research, Biotech, Microbiology, Zoology, Botony, Chemistry, Statistics)
- PHARMACYÂ (B.Pharmacy, D.Pharmacy, M.Pharmacy),
- Medical (BDS, BHMS, BAMS, MBBS),
- E/B.Tech (Biotech, Bio Informatics, Computer Science).
- Sc, B.A, B.COM, CA, BBA, BBM, BCA, B.Tech, B.E
- M.Sc, M.A, M.COM, MBA, MCA, PGDM, M.Tech
FACULTY NAME: SRINIVAS
EDUCATION: MS
EXPERIANCE: 8+ YEARS OF WORK AND TEACHING IN SAS
SAS CERTIFIED CANDIDATE: BASE, ADVANCE AND CLINICAL SAS
